Cyberjaya · Malaysia · Online
Three courses — Python for ML, a one-day RAG workshop, and a six-month deep learning track — taught live in small cohorts, with plain prerequisites and honest syllabi.
What we teach
Each course has a plain description of what it covers, what it does not cover, and what you need to know before enrolling.
8 weeks · 2 evenings/week
NumPy array thinking, vectorised operations, pandas for tabular data, and the habits that keep later work from collapsing. Taught live, recorded for review.
RM 1,480
Enquire About This Course
1 day · Saturday · Live online
Chunking strategies, embedding models, vector stores, hybrid search, reranking, and evaluation. You build one working system during the day and leave with the repository.
RM 620
Enquire About This Workshop
24 weeks · 12–15 hrs/week
Training loops from scratch, CNN and transformer architectures, transfer learning, experiment tracking, distributed training basics, quantisation, serving and production monitoring.
RM 4,700
Enquire About This TrackWhy Tensorloom
Every course page leads with what you need to know before enrolling — no hidden assumptions, no discovery mid-week that you are in the wrong room.
Cohorts are capped at 20. Questions get real-time answers. Recordings go out the same evening for anyone who needs to review.
Notebooks, repositories, and project files belong to you after each course. The work is reviewed by a practising engineer, not auto-graded.
Each course page includes a "what this does not cover" section. We would rather you know what is out of scope before you enrol than find out after.
Hours per week are displayed as a static segmented bar so you can plan around your existing commitments before committing to a cohort.
The deep learning track covers the mathematics required for the practical work — not a full degree's worth — so time is spent on the parts that matter in day-to-day engineering.
Enrolment enquiries
Write us with what you already know and which course interests you. We will reply with the next available cohort date and any additional detail you need.
Common questions
It depends on the course. Python Foundations requires comfort with loops, functions and dictionaries — no ML background needed. The RAG workshop requires comfortable Python and command-line use. The Applied Deep Learning Track requires solid Python, command-line comfort, and either the Foundations course or equivalent experience. Each course page includes a self-check so you can assess honestly before enquiring.
Yes. All live sessions are recorded and made available the same evening. Recordings are available for the duration of your enrolment period. The expectation is still that you attend live when possible — questions asked during a session benefit the whole cohort.
The RAG workshop is capped at 20 participants. Python Foundations and the Applied Deep Learning Track run in small cohorts — typically 12 to 18 people. When a cohort fills, we open a waitlist for the next scheduled intake.
A laptop running macOS, Linux or Windows (with WSL2 for Windows users), Python 3.10 or later, and a reliable internet connection. For the deep learning track, access to a cloud GPU is recommended for some project work — we provide specific guidance on options at course start. No special hardware is required for Python Foundations or the RAG workshop.
Payment is in Malaysian Ringgit (RM). We accept bank transfer and major debit/credit cards. For the Applied Deep Learning Track (RM 4,700), instalment arrangements may be available — please mention this in your enquiry and we will follow up with the current options.
We issue a completion document for each course. The courses are not regulated programmes and the documents are not academic qualifications. What you take from the courses is the work itself — notebooks, repositories, reviewed projects — which is more useful to show than a printed document.
Cohort dates change each intake. Send us an enquiry with the course you are interested in and we will reply with current availability. The RAG workshop runs roughly once per month on a Saturday; the longer courses run two to three times per year.
All sessions are online and teaching is in English, so people in other time zones are welcome to enquire. The live session schedule is set to Malaysia Time (MYT, UTC+8). Recordings are available if the timing does not work consistently.
Find us
18 Persiaran APEC, 63000 Cyberjaya, Selangor, Malaysia
Reach out
Enquiries are typically answered within one business day.
Phone
+60 3-8312 7649Address
18 Persiaran APEC
63000 Cyberjaya, Selangor
Malaysia
Office Hours
Monday – Friday: 9:00 am – 6:00 pm MYT
Saturday: 9:00 am – 1:00 pm MYT
Sunday & Public Holidays: Closed
Please include the course name and a brief note on your current Python experience in your message — it helps us give you a more useful response.